Graph Node Embeddings Embedding Tools
Tools for learning vector representations of nodes and graphs through unsupervised or self-supervised methods. Includes multi-scale embeddings, domain-specific graph embedding techniques (roads, stations, GO terms), and graph classification via embeddings. Does NOT include general graph neural networks, knowledge graph embeddings, or downstream task applications like drug discovery or influence maximization.
There are 55 graph node embeddings tools tracked. 4 score above 50 (established tier). The highest-rated is eliorc/node2vec at 62/100 with 1,293 stars.
Get all 55 projects as JSON
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| # | Tool | Score | Tier |
|---|---|---|---|
| 1 |
eliorc/node2vec
Implementation of the node2vec algorithm. |
|
Established |
| 2 |
mims-harvard/decagon
Graph convolutional neural network for multirelational link prediction |
|
Established |
| 3 |
mims-harvard/nimfa
Nimfa: Nonnegative matrix factorization in Python |
|
Established |
| 4 |
ferencberes/online-node2vec
Node Embeddings in Dynamic Graphs |
|
Established |
| 5 |
claws-lab/jodie
A PyTorch implementation of ACM SIGKDD 2019 paper "Predicting Dynamic... |
|
Emerging |
| 6 |
mims-harvard/Raindrop
Graph Neural Networks for Irregular Time Series |
|
Emerging |
| 7 |
dawenl/cofactor
CoFactor: Regularizing Matrix Factorization with Item Co-occurrence |
|
Emerging |
| 8 |
mims-harvard/graphml-tutorials
Tutorials for Machine Learning on Graphs |
|
Emerging |
| 9 |
mims-harvard/scikit-fusion
scikit-fusion: Data fusion via collective latent factor models |
|
Emerging |
| 10 |
abojchevski/graph2gauss
Gaussian node embeddings. Implementation of "Deep Gaussian Embedding of... |
|
Emerging |
| 11 |
eugeneyan/ml-surveys
📋 Survey papers summarizing advances in deep learning, NLP, CV, graphs,... |
|
Emerging |
| 12 |
mims-harvard/SubGNN
Subgraph Neural Networks (NeurIPS 2020) |
|
Emerging |
| 13 |
mims-harvard/GraphXAI
GraphXAI: Resource to support the development and evaluation of GNN explainers |
|
Emerging |
| 14 |
sashakolpakov/graphem-rapids
Graph embedding for influence maximization in networks |
|
Emerging |
| 15 |
snash4/GAT2VEC
embedding attributed graphs |
|
Emerging |
| 16 |
neo4j-product-examples/graph-machine-learning-examples
Neo4j Graph Data Science with Graph ML & GNNs |
|
Emerging |
| 17 |
xgfs/verse
Reference implementation of the paper VERSE: Versatile Graph Embeddings from... |
|
Emerging |
| 18 |
rodrigo-arenas/Graph-Embeddings
Graph and Nodes embeddings for downstream tasks |
|
Emerging |
| 19 |
pedugnat/dynnode2vec
dynnode2vec is a python package that implements algorithms to embed dynamic graphs |
|
Emerging |
| 20 |
uhh-lt/path2vec
Learning to represent shortest paths and other graph-based measures of node... |
|
Emerging |
| 21 |
nate-russell/Network-Embedding-Resources
Network Embedding Survey and Resources |
|
Emerging |
| 22 |
benedekrozemberczki/diff2vec
Reference implementation of Diffusion2Vec (Complenet 2018) built on Gensim... |
|
Emerging |
| 23 |
aedera/anc2vec
Unsupervised neural network for learning embeddings of GO terms. |
|
Emerging |
| 24 |
HKUST-KnowComp/SRBRW
Source Code for IJCAI 2018 paper "Biased Random Walk based Social... |
|
Emerging |
| 25 |
talshapira/BGP2Vec
We introduce a novel approach for Autonomous System (AS) embedding using... |
|
Emerging |
| 26 |
bio-ontology-research-group/DL2Vec
Convert Description Logic axioms into a graph, and generate embedding... |
|
Emerging |
| 27 |
aida-ugent/DeBayes
DeBayes: a Bayesian Method for Debiasing Network Embeddings (ICML 2020). |
|
Emerging |
| 28 |
OlegDurandin/dtree2vec
This project contain implementation the system, proposed in the "Adapting... |
|
Emerging |
| 29 |
specialprocedures/semnet
Semnet efficiently constructs graph structures from embeddings, enabling... |
|
Emerging |
| 30 |
vedashree29296/PyEmbeo
graph embeddings for neo4j in python |
|
Emerging |
| 31 |
Calychas/highway2vec
highway2vec: representing OpenStreetMap microregions with respect to their... |
|
Emerging |
| 32 |
mims-harvard/fastGNMF
Fast graph-regularized matrix factorization |
|
Experimental |
| 33 |
joisino/gnnrecover
Code for "Graph Neural Networks can Recover the Hidden Features Solely from... |
|
Experimental |
| 34 |
sayalaruano/DengueDrugRep
A project to predict new repurposed drugs for dengue using a biomedical... |
|
Experimental |
| 35 |
pietrocinaglia/dante
DANTE is a software tool for pairwise alignment of dynamic networks. It... |
|
Experimental |
| 36 |
GemsLab/RGM
Fast embedding-based graph classification with connections to kernels |
|
Experimental |
| 37 |
arangoml/fastgraphml
Given an input graph (ArangoDB or PyG) it generates graph embeddings using... |
|
Experimental |
| 38 |
meowoodie/Regularized-RBM
A regularized version of RBM for unsupervised feature selection. |
|
Experimental |
| 39 |
FOCS-AI/linkwise
Topology-Driven Edge Predictions with Graph Machine Learning for Optical... |
|
Experimental |
| 40 |
ErikLundin98/hermitian_laplacian_graph
Node embedding extraction using GraphWave and the Hermitian Laplacian |
|
Experimental |
| 41 |
GemsLab/EMBER
Node embedding for directed, weighted networks |
|
Experimental |
| 42 |
shan1322/Hyperwalk
embeddings for hyperedges in a hypergraph |
|
Experimental |
| 43 |
SmartData-Polito/gnn-for-darknet
This repo contains the codes and the notebooks used for the paper "Exploring... |
|
Experimental |
| 44 |
monomonedula/sten
Simple algorithm for generating graph nodes embeddings |
|
Experimental |
| 45 |
kevinbdsouza/graph_embed_hic
SCI and LINE to form Hi-C graph embeddings. Comparison with Hi-C-LSTM.... |
|
Experimental |
| 46 |
SelimWaly/Neural-Network-Graph-Learning
SDNE and LINE Deep Learning Graph Embeddings Implementation |
|
Experimental |
| 47 |
RMilock/multi-scale-node-embeddings
Official repository for the paper "Multi-Scale Node Embeddings for Graph... |
|
Experimental |
| 48 |
pyvandenbussche/node2vec-arxiv
Experiment using node2vec on arxiv papers metadata |
|
Experimental |
| 49 |
Birunda3000/GNNs_X_GAE-S_cla
Repositório de TCC com pipeline completo para experimentos com GNNs: geração... |
|
Experimental |
| 50 |
OxfordRSE/L2Gv2
Infer global embeddings from local graph embeddings |
|
Experimental |
| 51 |
atsushi-green/station2vec
learning station embedding |
|
Experimental |
| 52 |
MIND-Lab/DAGE
Deep Attributed Graph Embedding |
|
Experimental |
| 53 |
tteofili/parse2vec
NLP tool to enrich word embeddings with parse tree information and generate... |
|
Experimental |
| 54 |
merklefruit/hpc2020-graphML
My submission for the HPC GraphML contest by Oracle Labs and NECSTLab at... |
|
Experimental |
| 55 |
ImmanuelSandeep/Drug-Drug-Interaction-Prediction
This project presents a Graph Neural Network (GNN)-based framework for... |
|
Experimental |